LENOVO 82TD
Geekbench AI Score
5358
Single Precision Score
5896
Half Precision Score
13390
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | April 09 2025 12:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82TD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3605
670.4 IPS |
|
|
Image Classification (HP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (Q)
|
100% |
8161
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4826
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4989
80.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9023
146.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7172
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
7181
8.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
25856
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
1759
139.5 IPS |
|
|
Object Detection (HP)
|
100% |
2717
215.5 IPS |
|
|
Object Detection (Q)
|
88% |
8866
710.7 IPS |
|
|
Face Detection (SP)
|
100% |
6265
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
10262
121.9 IPS |
|
|
Face Detection (Q)
|
100% |
20580
244.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9231
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9187
70.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
23264
180.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21780
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21943
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
74268
95.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4409
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4432
163.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13853
513.0 IPS |
|
|
Text Classification (SP)
|
100% |
3364
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (Q)
|
92% |
4667
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4757
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4777
82.3 IPS |
